Background: Cancer is a series of different disease (>200 different sub-types)
with an identical feature of unlimited growth, invasive and multi-step/multi-level metastasis
Objective: Individualized cancer therapies/personalized cancer therapies will undergo a
dramatic evolution to cope with this disease diversity and a complexity of tumor
Methods: The next generation of personalized cancer therapy must simultaneously contain
information of pharmacology (drug sensitivity or drug combination), oncology (tumor
etiopathological information), computational network (predictive of cancer risks and
therapeutic efficacy), toxicology (adverse side-effects and human mortality), artificial intelligence
and patient’s desire (decision-aid), especially technology merge.
Results: Future multi-functional approach is inevitable. After all, multi-functional personalized
cancer therapy (collective and balanced regime/paradigms) might take formation in
Conclusion: A reliable, safe, effective and collective platform can be established through
further scientific and technical approaches in the clinic.